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DesktopWeb FormText   book : Practical Algorithms for Image AnalysisThu, 21 Oct 2004 19:51:47 GMT # 

by Seul, O'Gorman, Sammon. read this to support the pattern recognition with AI effort. the problem is that you have to get real world data into some form that you can ultimately use an AI technique with. for audio, this has involved working with wav files as well as fourier transforms. for image and video (sequence of images), there are a lot of options : smoothing, sharpening, edge detection, subsampling, line thinning, ... mostly i've just used global pixel and convolution techniques so far. e.g. when attempting the barcode image recognition, i had to transform that from gray scale to a binary format (without loss of data). this book covers many of those techniques as well as line, point, and frequency analysis. it even comes with C code, but i have not looked at it yet; many of the algorithms could be understood through the textual descriptions alone. this book was published 2000, but seems to be much older. regardless, great book, i'll probably be using this as a reference for some time